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  • 1
    Online Resource
    Online Resource
    Bremerhaven : [Alfred-Wegener-Institute Helmholtz-Center for Polar and Marine Research]
    Keywords: Forschungsbericht ; Nordpolarmeer ; Zirkulation ; Mengenelement ; Nährstoffeintrag
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (21 Seiten, 11,53 MB) , Diagramme, Karten
    Language: German
    Note: Förderkennzeichen BMBF 03F0807A [richtig] - 03V01461 [falsch] , Laufzeit: 01.07.2018 bis 31.12.2021 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 2
    Publication Date: 2024-02-07
    Description: Arctic Ocean properties and processes are highly relevant to the regional and global coupled climate system, yet still scarcely observed, especially in winter. Team OCEAN conducted a full year of physical oceanography observations as part of the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC), a drift with the Arctic sea ice from October 2019 to September 2020. An international team designed and implemented the program to characterize the Arctic Ocean system in unprecedented detail, from the seafloor to the air-sea ice-ocean interface, from sub-mesoscales to pan-Arctic. The oceanographic measurements were coordinated with the other teams to explore the ocean physics and linkages to the climate and ecosystem. This paper introduces the major components of the physical oceanography program and complements the other team overviews of the MOSAiC observational program. Team OCEAN’s sampling strategy was designed around hydrographic ship-, ice- and autonomous platform-based measurements to improve the understanding of regional circulation and mixing processes. Measurements were carried out both routinely, with a regular schedule, and in response to storms or opening leads. Here we present along-drift time series of hydrographic properties, allowing insights into the seasonal and regional evolution of the water column from winter in the Laptev Sea to early summer in Fram Strait: freshening of the surface, deepening of the mixed layer, increase in temperature and salinity of the Atlantic Water. We also highlight the presence of Canada Basin deep water intrusions and a surface meltwater layer in leads. MOSAiC most likely was the most comprehensive program ever conducted over the ice-covered Arctic Ocean. While data analysis and interpretation are ongoing, the acquired datasets will support a wide range of physical oceanography and multi-disciplinary research. They will provide a significant foundation for assessing and advancing modeling capabilities in the Arctic Ocean.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 3
    Publication Date: 2023-03-16
    Keywords: ARK-XXXI/1.1,PASCAL; AWI_Envi; CT; DATE/TIME; File name; File size; LATITUDE; LONGITUDE; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS106/1; PS106-track; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 348 data points
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  • 4
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-XXXI/1.2; Attenuation, optical beam transmission; AWI_PhyOce; Barents Sea; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN 485; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Latitude of event; Longitude of event; Number of observations; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS106_43-2; PS106_44-1; PS106_46-2; PS106_47-3; PS106_48-2; PS106_50-2; PS106_53-1; PS106_56-1; PS106_57-1; PS106_58-1; PS106_59-1; PS106_60-1; PS106_65-1; PS106_66-2; PS106_67-3; PS106_69-4; PS106_71-1; PS106_73-1; PS106_73-4; PS106_74-1; PS106_75-1; PS106_76-1; PS106_78-1; PS106_80-1; PS106_80-6; PS106_81-1; PS106_82-1; PS106_83-1; PS106_85-1; PS106_88-2; PS106_91-4; PS106_93-4; PS106/2; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 405768 data points
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  • 5
    Publication Date: 2023-03-17
    Description: Isotopic measurements of seawater sampled on-board Polarstern research vessel
    Keywords: ARK-XXXI/1.1,PASCAL; AWI_Envi; CT; d18O; DATE/TIME; dD; Deuterium excess; ISOARC; Isotope signature of water vapour over the Arctic Ocean; LATITUDE; LONGITUDE; ocean; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS106/1; PS106-track; surface water; Underway cruise track measurements; water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
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  • 6
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-XXXI/1.2; AWI_PhyOce; Barents Sea; Bottle number; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN 485; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS106_43-2; PS106_44-1; PS106_46-2; PS106_47-3; PS106_48-2; PS106_50-2; PS106_53-1; PS106_56-1; PS106_57-1; PS106_60-1; PS106_66-2; PS106_67-3; PS106_69-4; PS106_71-1; PS106_73-1; PS106_73-4; PS106_74-1; PS106_75-1; PS106_76-1; PS106_78-1; PS106_80-1; PS106_80-6; PS106_83-1; PS106_85-1; PS106_91-4; PS106/2; Salinity; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 3870 data points
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  • 7
    Publication Date: 2023-03-17
    Description: Here, we present a new isotopic dataset of near-surface water vapour and oceanic surface water continuously surveyed from the Polarstern research vessel during a period of two years from 2015-06-29 to 2017-07-01. The dataset covers areas spanning from the North Pole to the coasts of Antarctica in the Atlantic sector. Water vapour observations have been measured continuously on-board using a Cavity Ring-Down Spectrometer from a 29 m elevation above the sea level. The oceanic water has been sampled on a daily basis and later analyzed for water isotopic composition at the Alfred Wegener Institut laboratory in Potsdam, Germany. These observations contribute to better understand the creation of the first water vapour isotopic signal during oceanic evaporation. They reveal that the vapour deuterium excess within the atmospheric boundary layer is not modulated by wind speed, contrary to the commonly used theory, but controlled by relative humidity and sea surface temperature only. In sea ice covered regions, the sublimation of deposited snow on sea ice is also revealed as a key process controlling the local water vapour isotopic composition.
    Keywords: AWI_Envi; ISOARC; Isotope signature of water vapour over the Arctic Ocean; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 40 datasets
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  • 8
    Publication Date: 2023-08-08
    Keywords: ARK-XXXI/1.1,PASCAL; AWI_Envi; Calculated after Dansgaard (1964); CT; DATE/TIME; Deuterium excess; Humidity, specific; Isotope analyzer L2130-i, Picarro Inc.; LATITUDE; LONGITUDE; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS106/1; PS106-track; Underway cruise track measurements; δ18O, water vapour; δ Deuterium, water vapour
    Type: Dataset
    Format: text/tab-separated-values, 5116 data points
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  • 9
    Publication Date: 2023-11-24
    Description: Dissolved gases that act as passive transient tracers have become increasingly popular in physical oceanography for determining the age of a water mass as well as its circulation. In particular, chlorofluorocarbon CFC12 and Sulfur Hexafluoride SF6 are most adapted for comparatively deep water masses that may be several decades old. We here present the full depth concentrations of CFC12 and SF6 from samples collected in June-July 2017 as part of the Polarstern expedition PS106.2 (ARK-XXXI/1.2) ”SiPCA” north of Svalbard, from the shelf to the Nansen abyssal plain. During selected casts, up to ten samples were collected from the Niskin (as first sample collected upon opening of the Niskin). All Niskin bottles had been cleaned with isopropanol beforehand. Samples were collected by connecting a 300 ml glass ampoule to the Niskin tap via an airtight stainless steel system. We let the ampoule fill three times for rinsing, screwed the system shut after the fourth filling, and immediately put the ampoule in icy cold water. These ampoules were flame sealed immediately after collection, one at a time, so that the last sample was sealed at worst a few hours after the cast. The samples were analysed on land in the months that followed the expedition, at the GEOMAR Helmholtz Zentrum für Ozeanforschung, according to the method described in Stöven (2011). These concentrations will now contribute both to local studies of the Svalbard shelf break and its ecosystem, but also to our understanding of the large scale circulation of deep water masses in the Arctic Ocean.
    Keywords: after Stöven (2011); Arctic; Arctic Ocean; ARK-XXXI/1.2; Bottle number; CFC12; chemistry; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Freon-12 (dichlorodifluoromethane); LATITUDE; LONGITUDE; physical oceanography; Polarstern; Pressure, water; PS106_53-1; PS106_56-1; PS106_67-3; PS106_69-4; PS106_73-4; PS106_74-1; PS106_75-1; PS106_78-1; PS106_80-6; PS106_83-1; PS106_85-1; PS106/2; Quality flag; SF6; Station label; Sulfur hexafluoride, SF6; Svalbard; tracers
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 10
    Publication Date: 2024-03-02
    Description: This dataset gives an overview on the hydrographic properties encountered during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC). It is not the final dataset and it does not contain single profiles. Rather this data set contains the median of the preprocessed data collected with the ship-based conductivity, temperature depth profiler (CTD) as well as one profile of a hand-held CTD operated from the ice. The data collected with the ship-based CTD was processed using the standard SBE processing routines. Additionally, large spikes where removed. The data was interpolated onto a 5 dbar regular grid and subsequently the median was computed over each pressure level. The data collected with the ice-based hand-held CTD was processed manually. Surface values with conductivity readings below 0.5mS/cm and temperature values below the surface freezing temperature were removed. A pressure offset of 2 dbar was subtracted. The data was then binned in 0.1 steps to 5 dbar, in steps of 0.25 to 20 dbar, in steps of 0.5 dbar to 100 dbar and in steps of 1 dbar below. For both, ship-based CTD and ice-based hand-held CTD data Absolute Salinity (SA), Practical Salinity (SP) and Conservative Temperature (CT) where derived using the TEOS-10 GSW toolbox (McDougall and Barker 2011). This work was carried out and data used in this manuscript was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Arctic; Arctic Ocean; AWI_PhyOce; Cruise/expedition; CTD, handheld; CTD/Rosette; CTD-RO; DATE/TIME; Fram Strait; Gear; hCTD; hydrographic data; Identification; LATITUDE; LONGITUDE; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Physical Oceanography @ AWI; polar night; Polarstern; Pressure, water; PS122/1; PS122/1_10-41; PS122/1_10-44; PS122/1_10-60; PS122/1_10-64; PS122/1_6-58; PS122/1_6-79; PS122/1_6-81; PS122/1_7-47; PS122/1_7-49; PS122/1_7-80; PS122/1_8-43; PS122/1_8-46; PS122/1_8-71; PS122/1_8-98; PS122/1_9-50; PS122/1_9-61; PS122/1_9-67; PS122/1_9-87; PS122/2; PS122/2_16-21; PS122/2_16-34; PS122/2_17-39; PS122/2_17-41; PS122/2_17-64; PS122/2_17-68; PS122/2_18-32; PS122/2_18-34; PS122/2_18-57; PS122/2_18-74; PS122/2_19-55; PS122/2_19-56; PS122/2_19-76; PS122/2_19-77; PS122/2_20-45; PS122/2_20-46; PS122/2_20-71; PS122/2_20-73; PS122/2_21-64; PS122/2_21-65; PS122/2_22-42; PS122/2_22-47; PS122/2_22-63; PS122/2_23-46; PS122/2_23-47; PS122/2_23-63; PS122/2_24-2; PS122/2_24-4; PS122/2_25-52; PS122/2_25-54; PS122/2_25-71; PS122/2_25-73; PS122/3; PS122/3_30-53; PS122/3_30-64; PS122/3_31-39; PS122/3_31-59; PS122/3_31-63; PS122/3_40-36; PS122/3_42-32; PS122/4; PS122/4_44-183; PS122/4_44-184; PS122/4_44-187; PS122/4_44-202; PS122/4_44-67; PS122/4_44-76; PS122/4_45-100; PS122/4_45-101; PS122/4_45-106; PS122/4_45-121; PS122/4_45-3; PS122/4_45-31; PS122/4_45-48; PS122/4_45-53; PS122/4_45-72; PS122/4_45-73; PS122/4_45-74; PS122/4_45-75; PS122/4_45-76; PS122/4_45-77; PS122/4_45-78; PS122/4_45-79; PS122/4_45-80; PS122/4_45-81; PS122/4_45-82; PS122/4_45-83; PS122/4_45-84; PS122/4_45-85; PS122/4_45-88; PS122/4_45-9; PS122/4_45-94; PS122/4_45-95; PS122/4_45-96; PS122/4_45-97; PS122/4_45-98; PS122/4_45-99; PS122/4_46-15; PS122/4_46-2; PS122/4_46-35; PS122/4_46-56; PS122/4_46-60; PS122/4_46-83; PS122/4_46-87; PS122/4_46-91; PS122/4_47-108; PS122/4_47-52; PS122/4_47-60; PS122/4_48-121; PS122/4_48-15; PS122/4_48-155; PS122/4_48-159; PS122/4_48-29; PS122/4_48-56; PS122/4_48-60; PS122/4_48-62; PS122/4_48-96; PS122/4_49-10; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/4_49-36; PS122/4_49-5; PS122/4_50-21; PS122/4_50-52; PS122/5; PS122/5_59-138; PS122/5_59-149; PS122/5_59-272; PS122/5_59-274; PS122/5_59-277; PS122/5_59-305; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-67; PS122/5_60-69; PS122/5_60-89; PS122/5_61-128; PS122/5_61-159; PS122/5_61-161; PS122/5_61-189; PS122/5_61-211; PS122/5_62-38; PS122/5_62-4; PS122/5_62-66; PS122/5_62-88; PS122/5_62-91; PS122/5_63-100; PS122/5_63-110; PS122/5_63-111; PS122/5_63-35; PS122/5_63-53; Salinity; Salinity, absolute; Temperature; Temperature, water, conservative; vertical profiles; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 26510 data points
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